The impact of COVID-19 on tourism sector in India

The novel coronavirus (COVID-19), which is one of its kind of humanitarian disasters, has affected people and businesses worldwide, triggering a global economic crisis. In this aspect, the tourism sector is not being left behind. The pandemic has not only affected the foreign exchange earnings (FEE) but also affected various regional developments, job opportunities, thereby disrupting the local communities as a whole. As there has been a substantial decline in the arrivals of overseas tourists in India in 2020, the paper aims to predict foreign tourists' arrival in India and FEE using artificial neural networks (ANN). Furthermore, we analyse the impact of COVID-19 based on four scenarios considering with and without lockdown in terms of loss and gain in FEE. Lastly, the results obtained will help policymakers make necessary strategic and operational decisions, along with maximizing the FEE.

Automated summary

The COVID-19 pandemic has had far-reaching impacts, particularly in the tourism sector, affecting foreign exchange earnings, regional developments, and job opportunities. This paper aims to predict foreign tourists' arrival in India and FEE using artificial neural networks, while analyzing the impact of COVID-19 based on scenarios with and without lockdown. The results obtained will assist policymakers in making strategic decisions to maximize FEE.